An Inequality for Tensor Product of Positive Operators and Its Applications

Authors

Haixia Chang, Shanghai Finance University - China
Vehbi Emrah Paksoy, Nova Southeastern UniversityFollow
Fuzhen Zhang, Nova Southeastern UniversityFollow

Document Type

Article

Publication Date

6-1-2016

Publication Title

Linear Algebra and its Applications

Keywords

Generalized matrix function, Induced operator, Inequality, Positive operator, Positive semidefinite matrix, Positivity, Tensor, Word

ISSN

0024-3795

Volume

498

First Page

99

Last Page

105

Abstract

We present an inequality for tensor product of positive operators on Hilbert spaces by considering the tensor products of operators as words on certain alphabets (i.e., a set of letters). As applications of the operator inequality and by a multilinear approach, we show some matrix inequalities concerning induced operators and generalized matrix functions (including determinants and permanents as special cases).

Comments

©2015 Elsevier Inc. All rights reserved.

Additional Comments

Scientific Research of Foundation of Shanghai Finance University grant #: SHFUKT13-08

NSUWorks Citation

Chang, Haixia; Paksoy, Vehbi Emrah; and Zhang, Fuzhen, "An Inequality for Tensor Product of Positive Operators and Its Applications" (2016). Mathematics Faculty Articles. 203.
https://nsuworks.nova.edu/math_facarticles/203

DOI

10.1016/j.laa.2014.12.026